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Data Science Analyst - Investment Management

Michael Page International
Closing date
26 Jun 2022

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Contract Type
Full Time
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  • A major global investment management firm
  • Looking for a new Data Science Analyst to join their team in London
About Our Client
Data Science Analyst - Investment ManagementThe organisation is a major global investments management firm The Team
  • The Data Science analyst team focuses on acquiring, cleaning, and analysing large, unstructured data sets.
  • The team work closely with the investment teams including research and portfolio managers, to generate new insights from data and lead enhancements in their data science platform that enables data-driven decision making.
Job Description
Data Science Analyst - Investment ManagementThe organisation's Data Science group is a global, front-office central function which manages and owns the delivery of data to investment teams that drive trading decision making.
The group is made of four areas: data sourcing and strategy, data science analysts, data science engineering and data management.The Role as a Data Science Analyst
  • You will use your specific and general skills to support the quantitative research and portfolio management teams and contribute to high quality alpha trading models.
  • On some projects you will act as a subject matter expert, providing support and delivering high quality exploratory data analysis and insights.
  • You will have responsibilities ranging from data vendor scoping through to data ingestion, exploratory analysis and prototyping a robust production data pipeline.
  • The team's aim is to provide a consistent and scalable approach to data delivery and analysis along with low touch data management processes.
  • This is delivered through a series of small self-managed projects with the analyst working with the relevant investment team whilst working closely with our data science engineers and data commercial and sourcing teams.

  • Collaborate with data sourcing and commercial management, compliance, data science engineers, research, portfolio management, operations and technology to understand investment needs and manage the on-boarding process of new diverse data sets.
  • Perform thorough data vendor comparison analysis covering data integrity, coverage and aggregation methodologies.
  • Analysis and evaluation of datasets to assist investment teams with finding alpha signals
  • Develop large-scale data analytic capabilities to extract insights from structured and unstructured data.
  • Build automated processes for reviewing and analysing diverse sets of information
  • Support the analytical needs of investment teams inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project.
  • Contribute towards building a robust data pipeline; including performing data analytics, building data dashboards and implementing an optimised on-going data management process.
  • Curate and present relevant research and technical documentation to build and maintain an updated, accurate and accessible knowledge store.
  • Contribute to initiatives across the Data Science group to expand and improve the firm's data ecosystem.
  • Conduct industry research to identify new initiatives in financial markets, market data and alternative data.
The Successful Applicant
Data Science Analyst - Investment ManagementRequirements
  • Strong academic record and higher education degree with high mathematical and computing content e.g. computer science, mathematics, physics, statistics or another disciplines involving technical and quantitative analysis techniques.
  • Proven experience and fluency with data analysis techniques in SQL and an object-oriented language, preferably Python, along with relevant libraries e.g. NumPy/SciPy/Pandas.
  • Previous experience with reporting and visualisation, preferably using python, and creating technical solutions for operation and data related tasks/processes.
  • Working knowledge of Mongo DB, Linux / UNIX, G.i.t, Jira is preferable.
  • Demonstrate evidence of strong analytical and communication skills, both written and oral.
  • Financial industry experience preferred.
  • Excellent attention to detail.
  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
What's on Offer
A basic salary of up to 88,000 (dependent upon experience)Annual bonus & excellent company benefitsFlexible/Hybrid working policy
ContactJames McMillanQuote job refJN-052022-5622274Phone number+44 799 098 5136Job summary Sector Technology Subsector Data Analysis Sector Financial Services Location London Contract type Permanent Consultant name James McMillan Consultant phone +44 799 098 5136 Job reference JN-052022-5622274
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